wake_cones

Build sf polygons for the Jensen search cone of each turbine
and wind direction. Colour can encode wake loss (<code>AbschGesamt</code>).

The genetic algorithm is designed to optimize wind farms of any shape. Each layout is encoded as n unique grid-cell identifiers. It requires a predefined amount of turbines, a unified rotor radius and an average wind speed value for each incoming wind direction. A terrain effect model can be included that downloads an 'SRTM' elevation model and loads a Corine Land Cover raster to approximate surface roughness.

Sebastian Gatscha

windfarmGA

Genetic Algorithm for Wind Farm Layout Optimization

wake_cones function

<dl><dt>xy</dt>
<dd>Matrix or data.frame of turbine X/Y in the site CRS.</dd>
<dt>wind</dt>
<dd>Wind table with <code>wd</code> (and optional <code>probab</code>), as stored in
a <code>genetic_algorithm()</code> result.</dd>
<dt>rotor</dt>
<dd>Rotor radius in metres (sets cone length together with <code>area</code>).</dd>
<dt>area</dt>
<dd>Site polygon (<code>sf</code>), projected in metres.</dd>
<dt>half_deg</dt>
<dd>Half search angle. Default <code>windfarmGA.max_angle</code>.</dd>
<dt>colors</dt>
<dd>Optional colour per turbine (recycled).</dd></dl>

Arguments

Downwind wake search cones — wake_cones

<dl>

<dt>xy</dt>
<dd>Matrix or data.frame of turbine X/Y in the site CRS.</dd>


<dt>wind</dt>
<dd>Wind table with <code>wd</code> (and optional <code>probab</code>), as stored in
a <code>genetic_algorithm()</code> result.</dd>


<dt>rotor</dt>
<dd>Rotor radius in metres (sets cone length together with <code>area</code>).</dd>


<dt>area</dt>
<dd>Site polygon (<code>sf</code>), projected in metres.</dd>


<dt>half_deg</dt>
<dd>Half search angle. Default <code>windfarmGA.max_angle</code>.</dd>


<dt>colors</dt>
<dd>Optional colour per turbine (recycled).</dd>

</dl>

wake_cones: Downwind wake search cones

Description

Usage

Value

Arguments